Text-to-Audio
Diffusers
Safetensors
English
Chinese
MossSoundEffectPipeline
diffusion
flow-matching
sound-effects
audio-generation
Instructions to use niobures/MOSS-SoundEffect-v2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use niobures/MOSS-SoundEffect-v2.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("niobures/MOSS-SoundEffect-v2.0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download vae/config.json from niobures/MOSS-SoundEffect-v2.0: direct link, hf CLI and curl.
- Browser
- Download file 169 Bytes
-
https://huggingface.co/niobures/MOSS-SoundEffect-v2.0/resolve/main/vae/config.json
- Command line
-
hf download hf://niobures/MOSS-SoundEffect-v2.0/vae/config.json
-
curl -L -o config.json https://huggingface.co/niobures/MOSS-SoundEffect-v2.0/resolve/main/vae/config.json
169 Bytes
| { | |
| "_class_name": "DAC", | |
| "type": "dac", | |
| "latent_dim": 128, | |
| "sample_rate": 48000, | |
| "note": "Load with DAC.load(path). Full model object, not a pure state_dict." | |
| } |